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en_pipeline
apoorvapise/en_pipeline
en_pipeline is a token classification model from apoorvapise. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
926 MB
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Other502 MB · 54%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024
- SHA
- 808dd43a
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.4,<3.8.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (18 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | AGREE, ALLERGY, ANTIBIOTIC, BETA-BLOCKERS, BLOOD LOSS, CONSENT, DURATION, FIRE RISK, GREETING, MEDICAL_PROCEDURE, MEDICAL_ROLE, MEDS/EQUIPMENT, MRN, NAME, POSITION, RADIOLOGY, READY, SITES |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 68.09 |
ENTS_P | 69.57 |
ENTS_R | 66.67 |
TRANSFORMER_LOSS | 0.00 |
NER_LOSS | 0.00 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024